Changhoon Kim @ChanghoonKim3
PhD Candidate @ASU APG; BJJ Blue Belt changhoonkim.com Tempe Joined February 2020-
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Running an #ECCV2024 workshop or tutorial? Tag @eccvconf in your workshop/tutorial posts and we’ll AMPLIFY your message!
I'm proud to announce two papers accepted at CVPR'24: "WOUAF: A Cornerstone for Responsible Generative Models" "ECLIPSE: Advancing Efficiency in Generative Models" Heartfelt thanks to my collaborators Kyle Min, @patelmaitreya , @chengshengcs , and the supportive @prof_yz.
I'm proud to announce two papers accepted at CVPR'24: "WOUAF: A Cornerstone for Responsible Generative Models" "ECLIPSE: Advancing Efficiency in Generative Models" Heartfelt thanks to my collaborators Kyle Min, @patelmaitreya , @chengshengcs , and the supportive @prof_yz.
📣📣We will be presenting ConceptBed today @RealAAAI. If you want to learn more about the robustness and efficiency of T2I models, find me and the team (@prof_yz and @trgokhale) at the poster (#308) session today evening.
📣📣We will be presenting ConceptBed today @RealAAAI. If you want to learn more about the robustness and efficiency of T2I models, find me and the team (@prof_yz and @trgokhale) at the poster (#308) session today evening.
📢 "Frontier Topics in Generative AI" Seminar Series! I am delighted to share this exciting news. At @ASU, @ApgAsu will be hosting a seminar series featuring esteemed researchers. For more information, please refer to the original message.
It was a fantastic opportunity to present the tutorial on "Reliability of Generative Models in Vision at #WACV2024". Thanks to all who attended and showed interest! Special thanks co-organizers @gowthami_s, @trgokhale, and @prof_yz. #GenerativeAI #ComputerVision
Join us at #WACV2024 Tutorial to explore the growing need to assess the "Reliability" of image generative models in the context of copyright infringement, malicious content tracing, and spatial composition understanding. #Image #GenerativeAI #ComputerVision
Join us at #WACV2024 Tutorial to explore the growing need to assess the "Reliability" of image generative models in the context of copyright infringement, malicious content tracing, and spatial composition understanding. #Image #GenerativeAI #ComputerVision
Go APG!
Towards Efficient Text-to-Image (T2I) Models. With amazing collaboration between @patelmaitreya, @chengshengcs, @cbaral, and @Yezhou_Yang, I share our recent work. 𝑬𝘾𝑳𝙄𝑷𝙎𝑬 redefines efficiency for the T2I priors from unCLIP family: ✅ 33M params 📷 <5M data.
Towards Efficient Text-to-Image (T2I) Models. With amazing collaboration between @patelmaitreya, @chengshengcs, @cbaral, and @Yezhou_Yang, I share our recent work. 𝑬𝘾𝑳𝙄𝑷𝙎𝑬 redefines efficiency for the T2I priors from unCLIP family: ✅ 33M params 📷 <5M data.
Thanks to your help, I was able to get the fellowship!
Thanks to your help, I was able to get the fellowship!
Congratulations! I am happy that ASU is focusing on our work on Secure, Reliable Generative AI.
WOUAF:Weight Modulation for User Attribution and Fingerprinting in Text-to-Image Diffusion Models paper page: huggingface.co/papers/2306.04… demo: huggingface.co/spaces/wouaf/W… The rapid advancement of generative models, facilitating the creation of hyper-realistic images from textual…
Great compilation of ML tools for media content creation; pollinations.ai/c/Anything I guess my Spring plans are a little more settled.
The project with my advisors is introduced! Good introduction for user-attribution of generative models. Thank you all! Data DNA to provide security for generative modeling fullcircle.asu.edu/research/data-…
@Ju55Pratyay (@cbaral group) and @trgokhale started from the obvious (to a #CV person like me): Geometry of the scene facilitates spatial reasoning for #VQA... Later they discovered some not-so-obvious-es (OOD etc.) and will present them @ICCV_2021. Pdf: arxiv.org/pdf/2109.01934…
Got a brilliant gift from @ApgAsu Xin Ye to our 3yo and 1yo daughters, after her thesis defense. Sure, it will take a few more years before they can understand both the content and the message. But they loved it (see how quickly it wears off as a proof... :)
Got a brilliant gift from @ApgAsu Xin Ye to our 3yo and 1yo daughters, after her thesis defense. Sure, it will take a few more years before they can understand both the content and the message. But they loved it (see how quickly it wears off as a proof... :) https://t.co/HH1uWJNrHH
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357 Followers 24 Following Chitta is a Professor in Computer Science & Engineering at the Arizona State University, USA.✨ Excited ✨ Wanna get a whirlwind tour of memorization in diffusion models, how to find it, how to mitigate it, drop by the talk! Will discuss all my 3 papers (including style memorization) on this topic. Papers: 1. arxiv.org/abs/2212.03860 (CVPR'23) 2.…
Our community is looking forward to welcoming @gowthami_s on Monday, May 6th as she presents her work on "Understanding and Mitigating Memorization in Diffusion Models" Learn more: cohere.com/events/c4ai-Go…
Modeling a more sustainable future for #AI: @SCAI_ASU doctoral student Maitreya Patel has worked with Associate Prof Yezhou “YZ” Yang (@prof_yz) to create Eclipse – an open-source, resource-efficient, text prompt tool for generating AI art. ow.ly/u6y750RiueP #ASUEngineering
Our computer vision textbook is released! Foundations of Computer Vision with Antonio Torralba and Bill Freeman mitpress.mit.edu/9780262048972/… It’s been in the works for >10 years. Covers everything from linear filters and camera optics to diffusion models and radiance fields. 1/4
I have an inner child who would have liked this. Having said that, instead of encouraging them to publish a paper why not encourage them to explore new things and learn fundamentals without worrying about the consequences? Rat race is just gonna hurt in long run. 🤷♂️
Every time I encounter precision and recall I need to brush up their definitions for forgetting them the next day 😭. If that’s true for you as well, say no more 🥳! In today’s lecture, we finally understand *visually* how to evaluate a binary classifier! 😇😇😇
λ-ECLIPSE Multi-Concept Personalized Text-to-Image Diffusion Models by Leveraging CLIP Latent Space paper page: huggingface.co/papers/2402.05… demo: huggingface.co/spaces/ECLIPSE… λ-ECLIPSE a resource efficient way (trained on mere 74 GPU hours) to perform single/multi-subject T2I with…
[📢Do you know] the TWO Million bounding boxes in our 👇eTraM dataset is manually curated by a team of 50+ people and many attended today's defense! Congratulations Arpit and Aayush for defending each master thesis respectively today! 🙏 @Bharatesh05 @realhuawei and Duo Lv!
Introducing eTraM: Event-based processing for #intelligenttransportation with low-light capable and ultra-high frequency situation awareness. [#CVPR2024] eTraM: Event-based Traffic Monitoring Dataset Preprint: arxiv.org/abs/2403.19976 Code and data: eventbasedvision.github.io/eTraM/
ASU Fullcirle featured ECLIPSE (eclipse-t2i.vercel.app ), check it out 👇 Thank our awesome daytime science writer (and nighttime novelist) @KdeVosAuthor for featuring our work 🤠 fullcircle.asu.edu/research/compu…
Nice, eTraM is selected as Poster (Highlight) at CVPR. One among those 324 papers (11.9%) reflecting “especially interesting or innovative”. Thank you @CVPR papers categorization committee 🙏🤠
Introducing eTraM: Event-based processing for #intelligenttransportation with low-light capable and ultra-high frequency situation awareness. [#CVPR2024] eTraM: Event-based Traffic Monitoring Dataset Preprint: arxiv.org/abs/2403.19976 Code and data: eventbasedvision.github.io/eTraM/
Returning from an experimental ~2 week detox from the internet. Main takeaway is that I didn't realize how unsettled the mind can get when over-stimulating on problems/information (like a stirred liquid), and ~2 weeks is enough to settle into a lot more zen state. I'm struck by…
Thanks @sidsrivast for the constant guidance and support. And thanks Nancy, Georgios, and Yu, for the feedback and guidance... 🎉🥳
Congratulations to Dr. @pulkit_verma for completing his dissertation with a fabulous presentation and defense today! 🍾🎇🥳 Here's a big thanks to the committee members: Nancy Cooke, Georgios Fainekos, and Yu Zhang for all their time and effort along the way!
Our Geometric Media Lab has changed rapidly in the last year. What started as a 100% electrical engineering group, we are now 50% computer science, 25% electrical engineering, and 25% media arts!
Thank you @_akhaliq for the tweet! We introduced a style feature extractor, CSD, and tried to understand style memorization in diffusion models. Link to my paper explanation thread: x.com/gowthami_s/sta…
Measuring Style Similarity in Diffusion Models Generative models are now widely used by graphic designers and artists. Prior works have shown that these models remember and often replicate content from their training data during generation. Hence as their proliferation
Had a very interesting chat with @samcharrington for the @twimlai podcast recently, broadly about adversarial attacks on LLMs. I'm long overdue to post a thread about this research and all the ways of coercing LLMs to do and reveal (almost) anything, I'll get to it tomorrow!
Today We're Joined by @jonasgeiping to discuss: "Coercing LLMs to Do and Reveal (Almost) Anything". We explore the risks of deploying LLMs in the real world, and the challenge of robustness against optimized adversarial attacks. 🎧 / 🎥 Listen to the full episode at:…
What I imagine my first sabbatical will be like. All the time in the world to explore new ideas 🤔
Very sad to hear about @rossjanderson 's sudden passing. I learned a lot from him during my visit at Cambridge last month. He was very generous with his time. His impact on the security community will continue to be felt for many years. Thinking about his family and close ones.
It was great to visit Cambridge (thanks @rossjanderson) and Oxford (thanks @yaringal) to present our work on unlearning. A recording of the talk is available here: cl.cam.ac.uk/research/secur…
I can't believe I missed this live because I was writing for COLM 😩 youtube.com/watch?v=mnTQVc…